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Quiz 1:Statistical Inference(Data Science Specialization):Answers2025

Question 1

Consider influenza epidemics… What is the probability that the mother has contracted influenza?

11%
❌ 17%
❌ 6%
❌ 5%

Explanation:
Use the union formula:
P(father ∪ mother) = P(father) + P(mother) − P(both).
0.17 = 0.12 + P(mother) − 0.06 ⇒ P(mother) = 0.17 − 0.12 + 0.06 = 0.11 (11%).


Question 2

X ~ Uniform(0,1). What is its 75th percentile?

❌ 0.25
❌ 0.50
0.75
❌ 0.10

Explanation:
For a Uniform(0,1) distribution, the p-th quantile is p. So the 75th percentile is 0.75.


Question 3

Coin game: heads with prob p, pay X on heads, receive Y on tails. Condition for game to be fair (expected earnings 0)?

p1−p=XY\dfrac{p}{1-p} = \dfrac{X}{Y}
p1−p=YX\dfrac{p}{1-p} = \dfrac{Y}{X}
p=XYp = \dfrac{X}{Y}
X=YX = Y

Explanation:
Your expected earning = −(p)X+(1−p)Y=0-(p)X + (1-p)Y = 0. Solve: (1−p)Y=pX(1-p)Y = pXYX=p1−p \dfrac{Y}{X} = \dfrac{p}{1-p}. So the second option is correct.


Question 4

A symmetric density about 0 — what is its median?

The median must be 0.
❌ The median must be 1.
❌ We can’t conclude anything.
❌ The median must be different from the mean.

Explanation:
Symmetry about 0 implies the distribution places equal mass on either side of 0, so the 50% quantile (median) is 0.


Question 5

Discrete PMF: x = 1:4, probs 0.1,0.2,0.3,0.4. What is the mean?

❌ 4
❌ 1
3
❌ 2

Explanation:
Mean = Σ x * p = 1·0.1 + 2·0.2 + 3·0.3 + 4·0.4 = 0.1 + 0.4 + 0.9 + 1.6 = 3.0.


Question 6

Pregnancy test: sensitivity 75%, specificity 52% (use lower value), prevalence 30%. What is P(pregnant | positive)?

❌ 20%
40%
❌ 10%
❌ 30%

Explanation:
Bayes’ rule:
P(preg | +) = sens·prev / (sens·prev + (1−spec)·(1−prev))
= 0.75·0.30 / (0.75·0.30 + 0.48·0.70) = 0.225 / 0.561 ≈ 0.40 (40%).


🧾 Summary Table

Q# ✅ Correct Answer Key concept
1 11% Union probability: P(A∪B)=P(A)+P(B)−P(A∩B)
2 0.75 Uniform quantile: p-th quantile = p for Uniform(0,1)
3 p/(1−p) = Y/X Fair game: set expected value to zero and solve
4 0 Symmetry about 0 ⇒ median = 0
5 3 Expectation of discrete PMF: Σ x·p(x)
6 40% Bayes’ theorem for diagnostic tests